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New: Malicious MCP server caught in the wild!

Guardrails for AI agents

Agents are productive and literal. Knostic applies least privilege to what they do, watches every action as it happens, and blocks the unsafe ones before they execute.

Asking an agent to behave does not work.

Tell a model not to leak secrets and it will agree, then do it anyway. Knostic enforces real rules instead: every action is checked against policy before it runs, the allowed ones proceed, and the risky ones are blocked or sent to a human. The same policy holds across every agent you run.

How Knostic secures agents

Runtime guardrails

Before Knostic

The agent is asked to tidy stale data. It drops the live table, reports success, and the storefront falls over.

After Knostic

Kirin denies the destructive command before it executes, tells the developer why, and logs a Prevented alert for the SOC.

Least privilege, everywhere

Before Knostic

Each agent has its own autonomy settings and its own gaps. Least privilege is applied by hand, if at all.

After Knostic

One policy defines what agents may do per team, enforced identically in every tool.

Trusted components

Before Knostic

The agent installs a skill with a hidden instruction and exfiltrates credentials.

After Knostic

AgentMesh rates every skill, server, and extension. Kirin keeps the dangerous ones out.

Key capabilities

Least-privilege actions

Scope what agents may read, write, run, connect to, and install, per team.

Runtime monitoring and blocking

Every tool call evaluated before execution; unsafe ones blocked, downgraded, or escalated.

Prompt injection defense

Malicious instructions caught and the actions they would cause stopped.

Consistent policy

The same guardrails across SaaS, in-house, coding, and Cowork agents.

Supply-chain vetting

AgentMesh verdicts on every component the agent installs.

Audit logs

Every decision recorded for compliance and incident response.

Frequently asked questions

They act autonomously with their user's permissions, follow instructions from anything they read, and do not understand consequences.

By enforcing least-privilege policy, monitoring runtime behaviour, and blocking unsafe actions in real time, inside the agent.

Only the dangerous part. Allowed actions proceed without interruption; risky ones are blocked or routed to a human.

Cursor, Claude Code, GitHub Copilot, Windsurf, Codex, JetBrains, Devin Desktop, Gemini CLI, and Claude Cowork.

Decision logs and runtime monitoring provide evidence for audits, incident response, and policy enforcement.